Qwen: Qwen3 32B Rank
Qwen3 32B has an overall score of 61 out of 100, tied for rank 201 of 291. The published scores are price 87, context 44, parameters 38, and freshness 73. The overall score is their average. recency is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 201 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 73 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 44 | 131K tokens, output 16.4K | AI Context Window |
| Parameters | 38 | 32.8B total | AI Parameter Count |
| Price | 87 | $0.13 / 1M blended, $0.08 / 1M input, $0.28 / 1M output | AI Token Price |
200 listed models have a higher overall score. Among Qwen models, it ranks 25 of 38.
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Higher overall scores
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Frequently asked questions
What is the Qwen3 32B rank?
Qwen3 32B has an overall score of 61 out of 100, tied for rank 201 of 291. The published scores are price 87, context 44, parameters 38, and freshness 73. The overall score is their average. recency is not published and is left out of the average.
Where does Qwen3 32B rank?
Qwen3 32B is tied for rank 201 of 291. 200 listed models have a higher overall score. Among Qwen models, it ranks 25 of 38.
What scores make up Qwen3 32B?
Qwen3 32B scores price 87 (AI Token Price), context 44 (AI Context Window), parameters 38 (AI Parameter Count), and freshness 73 (AI Knowledge Cutoff). The overall score of 61 is the average of those 4.